Thinning Decisions Using Stand Density Indices: The Influence of Uncertainty | Zendy

Mark J. Ducey | Zendy; Bruce C. Larson | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Thinning Decisions Using Stand Density Indices: The Influence of Uncertainty

Author(s) -

Mark J. Ducey,

Bruce C. Larson

Publication year - 1997

Publication title -

western journal of applied forestry

Language(s) - English

Resource type - Journals

eISSN - 1938-3770

pISSN - 0885-6095

DOI - 10.1093/wjaf/12.3.89

Subject(s) - thinning , sampling (signal processing) , sample (material) , statistics , process (computing) , computer science , econometrics , mathematics , forestry , geography , chemistry , filter (signal processing) , chromatography , computer vision , operating system

In practice, stand density indices must be estimated from sample data, leading to uncertainty in both estimates of stand density and resulting thinning decisions. We provide a statistical framework for thinning decisions based on density thresholds. We show how to assess the adequacy of existing cruise data to guide the thinning process, and to design more cost-effective sampling plans. We present this information in a series of graphs which, when used in conjunction with density management diagrams, can improve rational thinning decisions. West. J. Appl. For. 12(3):89-92.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research